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Challenging Anti-virus Through Evolutionary Malware Obfuscation

机译:通过渐进式恶意软件混淆来挑战防病毒软件

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The use of anti-virus software has become something of an act of faith. A recent study showed that more than 80% of all personal computers have anti-virus software installed. However, the protection mechanisms in place are far less effective than users would expect. Malware analysis is a classical example of cat-and-mouse game: as new anti-virus techniques are developed, malware authors respond with new ones to thwart analysis. Every day, anti-virus companies analyze thousands of malware that has been collected through honeypots, hence they restrict the research to only already existing viruses. This article describes a novel method for malware obfuscation based an evolutionary opcode generator and a special ad-hoc packer. The results can be used by the security industry to test the ability of their system to react to malware mutations.
机译:使用防病毒软件已成为一种信念。最近的一项研究表明,所有个人计算机中超过80%都安装了防病毒软件。但是,现有的保护机制远没有用户期望的有效。恶意软件分析是猫捉老鼠游戏的经典示例:随着新的反病毒技术的发展,恶意软件的作者以新的方式应对阻碍分析。每天,反病毒公司都会分析通过蜜罐收集的数千种恶意软件,因此它们将研究限制在仅已存在的病毒中。本文介绍了一种基于进化操作码生成器和特殊临时打包程序的恶意软件混淆新方法。安全行业可以使用这些结果来测试其系统对恶意软件突变做出反应的能力。

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